Search Results for "segment"

Mesh R-CNN is a 3D reconstruction and object understanding framework developed by Facebook Research that extends Mask R-CNN into the 3D domain. Built on top of Detectron2 and PyTorch3D, Mesh R-CNN enables end-to-end 3D mesh prediction directly from single RGB images. The model learns to detect, segment, and reconstruct detailed 3D mesh representations of objects in natural images, bridging the gap between 2D perception and 3D understanding. Unlike voxel-based or point-based approaches, Mesh R-CNN uses a differentiable mesh representation, allowing it to efficiently refine surface geometry while maintaining high spatial detail. ...

Biomorphs are a way of explaining evolution invented by Richard Dawkins. The shapes are controlled by a small set of genes, which give colour, segment length, size, and degree of recursion. By changing a gene by a small amount, a small difference is made in neighbours. Many fascinating shapes can be found, and you can often home in on a desired shape by selecting relatives that are closer to your goal. The program uses the Baby X toolkit.

C++ implementation of the Adaptive and Generic Accelerated Segment Test (AGAST): a highly efficient corner detector based on the same corner test as FAST. For a C implementation please refer to http://sourceforge.net/projects/agast/

Adaptive and Generic Accelerated Segment Test (AGAST): a highly efficient corner detector based on the same corner test as FAST. For a thread-safe C++ implementation please refer to http://sourceforge.net/projects/agastpp/